{
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"
    }
   },
   "cell_type": "markdown",
   "id": "51466c8d-8ce4-4b3d-be4e-18fdbeda5f53",
   "metadata": {},
   "source": [
    "# How to add breakpoints\n",
    "\n",
    "!!! tip \"Prerequisites\"\n",
    "\n",
    "    This guide assumes familiarity with the following concepts:\n",
    "\n",
    "    * [Breakpoints](/langgraphjs/concepts/breakpoints)\n",
    "    * [LangGraph Glossary](/langgraphjs/concepts/low_level)\n",
    "\n",
    "Human-in-the-loop (HIL) interactions are crucial for [agentic systems](/langgraphjs/concepts/agentic_concepts/#human-in-the-loop). [Breakpoints](/langgraphjs/concepts/low_level/#breakpoints) are a common HIL interaction pattern, allowing the graph to stop at specific steps and seek human approval before proceeding (e.g., for sensitive actions).\n",
    "\n",
    "Breakpoints are built on top of LangGraph [checkpoints](/langgraphjs/concepts/low_level/#checkpointer), which save the graph's state after each node execution. Checkpoints are saved in [threads](/langgraphjs/concepts/low_level/#threads) that preserve graph state and can be accessed after a graph has finished execution. This allows for graph execution to pause at specific points, await human approval, and then resume execution from the last checkpoint.\n",
    "\n",
    "![Screenshot 2024-07-03 at 1.32.19 PM.png](attachment:b5aa6d4c-8dfd-490d-a53c-69c1368cd5b5.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cbd446a-808f-4394-be92-d45ab818953c",
   "metadata": {},
   "source": [
    "## Setup\n",
    "\n",
    "First we need to install the packages required\n",
    "\n",
    "```bash\n",
    "npm install @langchain/langgraph @langchain/anthropic @langchain/core\n",
    "```\n",
    "\n",
    "Next, we need to set API keys for Anthropic (the LLM we will use)\n",
    "\n",
    "```bash\n",
    "export ANTHROPIC_API_KEY=your-api-key\n",
    "```\n",
    "\n",
    "Optionally, we can set API key for [LangSmith tracing](https://smith.langchain.com/), which will give us best-in-class observability.\n",
    "\n",
    "```bash\n",
    "export LANGCHAIN_TRACING_V2=\"true\"\n",
    "export LANGCHAIN_CALLBACKS_BACKGROUND=\"true\"\n",
    "export LANGCHAIN_API_KEY=your-api-key\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "131fd44d-c0f8-473a-ae80-4b4668ad7f47",
   "metadata": {},
   "source": [
    "## Simple Usage\n",
    "\n",
    "Let's look at very basic usage of this.\n",
    "\n",
    "Below, we do two things:\n",
    "\n",
    "1) We specify the [breakpoint](https://langchain-ai.github.io/langgraphjs/concepts/low_level/#breakpoints) using `interruptBefore` the specified step.\n",
    "\n",
    "2) We set up a [checkpointer](https://langchain-ai.github.io/langgraphjs/concepts/#checkpoints) to save the state of the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9b53f191-1e86-4881-a667-d46a3d66958b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import { StateGraph, START, END, Annotation } from \"@langchain/langgraph\";\n",
    "import { MemorySaver } from \"@langchain/langgraph\";\n",
    "\n",
    "const GraphState = Annotation.Root({\n",
    "  input: Annotation<string>\n",
    "});\n",
    "\n",
    "const step1 = (state: typeof GraphState.State) => {\n",
    "  console.log(\"---Step 1---\");\n",
    "  return state;\n",
    "}\n",
    "\n",
    "const step2 = (state: typeof GraphState.State) => {\n",
    "  console.log(\"---Step 2---\");\n",
    "  return state;\n",
    "}\n",
    "\n",
    "const step3 = (state: typeof GraphState.State) => {\n",
    "  console.log(\"---Step 3---\");\n",
    "  return state;\n",
    "}\n",
    "\n",
    "\n",
    "const builder = new StateGraph(GraphState)\n",
    "  .addNode(\"step1\", step1)\n",
    "  .addNode(\"step2\", step2)\n",
    "  .addNode(\"step3\", step3)\n",
    "  .addEdge(START, \"step1\")\n",
    "  .addEdge(\"step1\", \"step2\")\n",
    "  .addEdge(\"step2\", \"step3\")\n",
    "  .addEdge(\"step3\", END);\n",
    "\n",
    "\n",
    "// Set up memory\n",
    "const graphStateMemory = new MemorySaver()\n",
    "\n",
    "const graph = builder.compile({\n",
    "  checkpointer: graphStateMemory,\n",
    "  interruptBefore: [\"step3\"]\n",
    "});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c2dd360b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import * as tslab from \"tslab\";\n",
    "\n",
    "const drawableGraphGraphState = graph.getGraph();\n",
    "const graphStateImage = await drawableGraphGraphState.drawMermaidPng();\n",
    "const graphStateArrayBuffer = await graphStateImage.arrayBuffer();\n",
    "\n",
    "await tslab.display.png(new Uint8Array(graphStateArrayBuffer));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7d5f80f-9d8c-4a39-b198-24fe94132b41",
   "metadata": {},
   "source": [
    "We create a [thread ID](https://langchain-ai.github.io/langgraphjs/concepts/low_level/#threads) for the checkpointer.\n",
    "\n",
    "We run until step 3, as defined with `interruptBefore`. \n",
    "\n",
    "After the user input / approval, [we resume execution](https://langchain-ai.github.io/langgraphjs/concepts/low_level/#breakpoints) by invoking the graph with `null`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dfe04a7f-988e-4a36-8ce8-2c49fab0130a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- hello world ---\n",
      "---Step 1---\n",
      "--- hello world ---\n",
      "---Step 2---\n",
      "--- hello world ---\n",
      "---GRAPH INTERRUPTED---\n",
      "---Step 3---\n",
      "--- hello world ---\n"
     ]
    }
   ],
   "source": [
    "// Input\n",
    "const initialInput = { input: \"hello world\" };\n",
    "\n",
    "// Thread\n",
    "const graphStateConfig = { configurable: { thread_id: \"1\" }, streamMode: \"values\" as const };\n",
    "\n",
    "// Run the graph until the first interruption\n",
    "for await (const event of await graph.stream(initialInput, graphStateConfig)) {\n",
    "  console.log(`--- ${event.input} ---`);\n",
    "}\n",
    "\n",
    "// Will log when the graph is interrupted, after step 2.\n",
    "console.log(\"---GRAPH INTERRUPTED---\");\n",
    "\n",
    "// If approved, continue the graph execution. We must pass `null` as\n",
    "// the input here, or the graph will\n",
    "for await (const event of await graph.stream(null, graphStateConfig)) {\n",
    "  console.log(`--- ${event.input} ---`);\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3333b771",
   "metadata": {},
   "source": [
    "## Agent\n",
    "\n",
    "In the context of agents, breakpoints are useful to manually approve certain agent actions.\n",
    " \n",
    "To show this, we will build a relatively simple ReAct-style agent that does tool calling. \n",
    "\n",
    "We'll add a breakpoint before the `action` node is called. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6098e5cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "// Set up the tool\n",
    "import { ChatAnthropic } from \"@langchain/anthropic\";\n",
    "import { tool } from \"@langchain/core/tools\";\n",
    "import { StateGraph, START, END } from \"@langchain/langgraph\";\n",
    "import { MemorySaver, Annotation } from \"@langchain/langgraph\";\n",
    "import { ToolNode } from \"@langchain/langgraph/prebuilt\";\n",
    "import { BaseMessage, AIMessage } from \"@langchain/core/messages\";\n",
    "import { z } from \"zod\";\n",
    "\n",
    "const AgentState = Annotation.Root({\n",
    "  messages: Annotation<BaseMessage[]>({\n",
    "    reducer: (x, y) => x.concat(y),\n",
    "  }),\n",
    "});\n",
    "\n",
    "const search = tool((_) => {\n",
    "    return \"It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\";\n",
    "}, {\n",
    "    name: \"search\",\n",
    "    description: \"Call to surf the web.\",\n",
    "    schema: z.string(),\n",
    "})\n",
    "\n",
    "const tools = [search]\n",
    "const toolNode = new ToolNode<typeof AgentState.State>(tools)\n",
    "\n",
    "// Set up the model\n",
    "const model = new ChatAnthropic({ model: \"claude-3-5-sonnet-20240620\" })\n",
    "const modelWithTools = model.bindTools(tools)\n",
    "\n",
    "\n",
    "// Define nodes and conditional edges\n",
    "\n",
    "// Define the function that determines whether to continue or not\n",
    "function shouldContinue(state: typeof AgentState.State): \"action\" | typeof END {\n",
    "    const lastMessage = state.messages[state.messages.length - 1];\n",
    "    // If there is no function call, then we finish\n",
    "    if (lastMessage && !(lastMessage as AIMessage).tool_calls?.length) {\n",
    "        return END;\n",
    "    }\n",
    "    // Otherwise if there is, we continue\n",
    "    return \"action\";\n",
    "}\n",
    "\n",
    "// Define the function that calls the model\n",
    "async function callModel(state: typeof AgentState.State): Promise<Partial<typeof AgentState.State>> {\n",
    "    const messages = state.messages;\n",
    "    const response = await modelWithTools.invoke(messages);\n",
    "    // We return an object with a messages property, because this will get added to the existing list\n",
    "    return { messages: [response] };\n",
    "}\n",
    "\n",
    "// Define a new graph\n",
    "const workflow = new StateGraph(AgentState)\n",
    "    // Define the two nodes we will cycle between\n",
    "    .addNode(\"agent\", callModel)\n",
    "    .addNode(\"action\", toolNode)\n",
    "    // We now add a conditional edge\n",
    "    .addConditionalEdges(\n",
    "        // First, we define the start node. We use `agent`.\n",
    "        // This means these are the edges taken after the `agent` node is called.\n",
    "        \"agent\",\n",
    "        // Next, we pass in the function that will determine which node is called next.\n",
    "        shouldContinue\n",
    "    )\n",
    "    // We now add a normal edge from `action` to `agent`.\n",
    "    // This means that after `action` is called, `agent` node is called next.\n",
    "    .addEdge(\"action\", \"agent\")\n",
    "    // Set the entrypoint as `agent`\n",
    "    // This means that this node is the first one called\n",
    "    .addEdge(START, \"agent\");\n",
    "\n",
    "\n",
    "// Setup memory\n",
    "const memory = new MemorySaver();\n",
    "\n",
    "// Finally, we compile it!\n",
    "// This compiles it into a LangChain Runnable,\n",
    "// meaning you can use it as you would any other runnable\n",
    "const app = workflow.compile({\n",
    "    checkpointer: memory,\n",
    "    interruptBefore: [\"action\"]\n",
    "});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4476aef1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import * as tslab from \"tslab\";\n",
    "\n",
    "const drawableGraph = app.getGraph();\n",
    "const image = await drawableGraph.drawMermaidPng();\n",
    "const arrayBuffer = await image.arrayBuffer();\n",
    "\n",
    "await tslab.display.png(new Uint8Array(arrayBuffer));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a1b56c5-bd61-4192-8bdb-458a1e9f0159",
   "metadata": {},
   "source": [
    "## Interacting with the Agent\n",
    "\n",
    "We can now interact with the agent.\n",
    "\n",
    "We see that it stops before calling a tool, because `interruptBefore` is set before the `action` node."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cfd140f0-a5a6-4697-8115-322242f197b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================ human Message (1) =================================\n",
      "search for the weather in sf now\n",
      "================================ ai Message (1) =================================\n",
      "[\n",
      "  {\n",
      "    type: 'text',\n",
      "    text: \"Certainly! I'll search for the current weather in San Francisco for you. Let me use the search function to find this information.\"\n",
      "  },\n",
      "  {\n",
      "    type: 'tool_use',\n",
      "    id: 'toolu_01R524BmxkEm7Rf5Ss53cqkM',\n",
      "    name: 'search',\n",
      "    input: { input: 'current weather in San Francisco' }\n",
      "  }\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "import { HumanMessage } from \"@langchain/core/messages\";\n",
    "// Input\n",
    "const inputs = new HumanMessage(\"search for the weather in sf now\");\n",
    "\n",
    "// Thread\n",
    "const config = { configurable: { thread_id: \"3\" }, streamMode: \"values\" as const };\n",
    "\n",
    "for await (const event of await app.stream({\n",
    "    messages: [inputs]\n",
    "}, config)) {\n",
    "    const recentMsg = event.messages[event.messages.length - 1];\n",
    "    console.log(`================================ ${recentMsg._getType()} Message (1) =================================`)\n",
    "    console.log(recentMsg.content);\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bca3814-db08-4b0b-8c0c-95b6c5440c81",
   "metadata": {},
   "source": [
    "**Resume**\n",
    "\n",
    "We can now call the agent again with no inputs to continue.\n",
    "\n",
    "This will run the tool as requested.\n",
    "\n",
    "Running an interrupted graph with `null` in the inputs means to `proceed as if the interruption didn't occur.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "51923913-20f7-4ee1-b9ba-d01f5fb2869b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================ tool Message (1) =================================\n",
      "It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\n",
      "================================ ai Message (1) =================================\n",
      "Based on the search results, I can provide you with information about the current weather in San Francisco:\n",
      "\n",
      "The weather in San Francisco is currently sunny. This means it's a clear day with plenty of sunshine, which is great for outdoor activities or simply enjoying the city.\n",
      "\n",
      "However, I should note that the search result included an unusual comment about Geminis. This appears to be unrelated to the weather and might be a quirk of the search engine or a reference to something else entirely. For accurate and detailed weather information, it would be best to check a reliable weather service or website.\n",
      "\n",
      "Is there anything else you'd like to know about the weather in San Francisco or any other location?\n"
     ]
    }
   ],
   "source": [
    "for await (const event of await app.stream(null, config)) {\n",
    "    const recentMsg = event.messages[event.messages.length - 1];\n",
    "    console.log(`================================ ${recentMsg._getType()} Message (1) =================================`)\n",
    "    console.log(recentMsg.content);\n",
    "}"
   ]
  }
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